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An effective sample preparation method for diabetes prediction
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 6 (30 Nov. 2018)6 p.
Publisher
Publication Date
2018-11-30
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
Diabetes is a chronic disorder caused by metabolic malfunction in carbohydrate metabolism and it has become a serious health problem worldwide.
Early and correct detection of diabetes can significantly influence the treatment process of diabetic patients and thus eliminate the associated side effects.
Machine learning is an emerging field of high importance for providing prognosis and a deeper understanding of the classification of diseases such as diabetes.
This study proposed a high precision diagnostic system by modifying k-means clustering technique.
In the first place, noisy, uncertain and inconsistent data was detected by new clustering method and removed from data set.
Then, diabetes prediction model was generated by using Support Vector Machine (SVM).
Employing the proposed diagnostic system to classify Pima Indians Diabetes data set (PID) resulted in 99.64% classification accuracy with 10-fold cross validation.
The results from our analysis show the new system is highly successful compared to SVM and the classical k-means algorithm & SVM regarding classification performance and time consumption.
Experimental results indicate that the proposed approach outperforms previous methods
American Psychological Association (APA)
Moghaddam, Shima& Yildiz, Oktay. 2018. An effective sample preparation method for diabetes prediction. The International Arab Journal of Information Technology،Vol. 15, no. 6.
https://search.emarefa.net/detail/BIM-874038
Modern Language Association (MLA)
Moghaddam, Shima& Yildiz, Oktay. An effective sample preparation method for diabetes prediction. The International Arab Journal of Information Technology Vol. 15, no. 6 (Nov. 2018).
https://search.emarefa.net/detail/BIM-874038
American Medical Association (AMA)
Moghaddam, Shima& Yildiz, Oktay. An effective sample preparation method for diabetes prediction. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 6.
https://search.emarefa.net/detail/BIM-874038
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-874038